Enhancing Orange Crop Health: A Hybrid Deep Learning Approach for Precise Multi-Classification of Leaf Diseases-Reference-Cited by-同舟云学术

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Enhancing Orange Crop Health: A Hybrid Deep Learning Approach for Precise Multi-Classification of Leaf Diseases

Published:2024-03-14 Issue: Volume:13 Page:1-4
ISSN:
Container-title:2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
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Author:

Joshi Jyoti¹,Aeri Manisha²,Kukreja Vinay³,Sharma Rishabh³

Affiliation:

1. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttrakhand,India,248002

2. Graphic Era Deemed to be University,Computer Science and Engineering,Dehradun,Uttarakhand,India

3. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10522096/10522101/10522444.pdf?arnumber=10522444

Reference18 articles.

1. FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection

2. AgriDet: Plant Leaf Disease severity classification using agriculture detection framework

3. Plant disease detection with Finetuned - ResNet18 for several plants like Tomato, Grape, Orange, Soybean, Squash, Potato, Corn_(maize), Strawberry;Hanif;resmilitaris,2023

4. Orange Leaf Diseases Identification Using Digital Image Processing

5. CitrusUAT: A dataset of orange Citrus sinensis leaves for abnormality detection using image analysis techniques

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